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Added 4 mins ago
Mechanical Engineer - ENG3
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Project Coordinator - Candidate Pool
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Project Manager - Candidate Pool
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- $110,480 to $151,910 CAD / year
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Volatus Aerospace

Computer Vision Engineer

Vaughan, ON, L4H 0K8, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: Minimum of 2 years of professional experience in computer vision, image processing, machine learning, or robotics.
Posting language: English
Posted: Oct 6, 2026

Original job description

COMPANY OVERVIEW

Volatus Aerospace is a global leader in aerial intelligence and drone solutions, bringing together over 100 years of combined aviation expertise. We specialize in delivering innovative, customer-focused solutions through both piloted and remotely piloted aircraft systems (RPAS) across industries including defense, infrastructure, energy, public safety, and logistics.

POSITION OVERVIEW

Volatus Aerospace is seeking a Computer Vision Engineer to develop and deploy vision and image-processing capabilities for UAVs or relevant systems.

The role includes scene recognition, visual targeting, tracking, and visual positioning. Working with hardware, software, controls, and test teams, the engineer will integrate sensors and develop reliable perception capabilities from initial data collection through deployment and validation.

KEY RESPONSIBILITIES

Scene recognition: Develop algorithms to recognize operational areas, objects, and surrounding features, including recognition without dedicated visual markers.
Visual targeting: Detect, locate, and track targets, and estimate their relative position, orientation, and motion.
Dynamic reference positioning: Develop capabilities to establish and update visual references, including dynamic home or recovery locations.
Moving-target tracking: Maintain tracking through movement, changing viewpoints, partial obstruction, and temporary loss of visibility.
Vision and sensor integration: Integrate cameras and supporting sensors, ensuring accurate calibration, synchronization, and data processing.
Environmental performance: Improve perception reliability across changes in lighting, weather, backgrounds, vibration, and motion.
Data and model development: Collect and manage datasets, train and evaluate models, and refine algorithms using representative operational data.
Localization and sensor fusion: Combine visual observations with other sensor inputs to improve positioning, motion estimation, and tracking.
Onboard processing: Optimize algorithms and models for real-time operation within available computing, memory, and power resources.
Control and mission integration: Interface perception outputs with flight controllers or relevant systems, including confidence reporting and handling of invalid data or lost targets.
Testing and validation: Assess accuracy, reliability, and latency through recorded-data analysis, simulation, and practical testing.
Technical documentation: Maintain traceable datasets, model versions, calibration records, test results, and operating limitations.

QUALIFICATION REQUIREMENT

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related discipline. A relevant Master’s degree or PhD is an asset.
Minimum of 2 years of professional experience in computer vision, image processing, machine learning, or robotics.
Strong knowledge of computer vision, image processing, visual tracking, spatial estimation, and sensor fusion.
Proficiency in Python, OpenCV, and PyTorch or TensorFlow, with experience in dataset preparation, model training, and validation.
Experience with camera calibration, sensor interfaces, and Linux-based software development.
Familiarity with C/C++, embedded computing, real-time video processing, and model optimization.
Knowledge of techniques for improving model generalization, assessing confidence, and detecting perception failures.
Strong analytical, troubleshooting, communication, and technical writing skills.
Experience with visual perception or navigation for UAVs or relevant systems is an asset.
Familiarity with PX4, ArduPilot, Veronte, or comparable flight control systems, and experience interfacing sensor and vision-derived outputs through MAVLink or other supported protocols, are assets
Perform other duties and responsibilities as may be reasonably assigned by the Company from time to time

HOURS OF WORK AND WORK ENVIRONMENT

The position is an onsite role, and the Employee is required to perform their duties primarily at the Company’s designated workplace, as directed by the Company.
The standard work schedule consists of forty (40) hours per week, typically performed Monday to Friday, subject to operational requirements.
From time to time, the Employee may be required to maintain reasonable flexibility in working hours to support operational needs, time-sensitive activities, or business priorities.

WHY JOIN VOLATUS AEROSPACE

At Volatus Aerospace, you will be joining an innovative, fast-paced company with a strong commitment to customer success and industry advancement. We offer a competitive salary, a comprehensive group benefits plan, and a group RRSP. You will have the opportunity to work with a passionate global team on cutting-edge aerospace projects while continuing to grow your career in a collaborative and supportive work environment where your contributions directly impact company growth and operational success

HOW TO APPLY

If you are ready to take your engineering career to new heights, please apply with your resume and a brief cover letter outlining your relevant experience and interest in the role.

Volatus Aerospace is committed to fostering a diverse, equitable, and inclusive workplace where everyone is respected, valued, and empowered to succeed. We welcome applications from people of all backgrounds and experiences and will provide accommodations throughout the recruitment process upon request.

Apply About employer

More about this job

Responsibilities

Develop and deploy vision and image-processing capabilities for UAVs, including scene recognition, visual targeting, and moving-target tracking. Integrate sensors, manage datasets, and optimize algorithms for real-time onboard processing and flight controller interfacing.

Requirements

Requires a Bachelor's degree in a relevant engineering or science discipline and at least 2 years of professional experience in computer vision or robotics. Proficiency in Python, OpenCV, and machine learning frameworks is essential, along with experience in sensor integration and Linux-based development.

Skills

Computer vision
Image processing
Machine learning
Robotics
Python
OpenCV
PyTorch
TensorFlow
Sensor fusion
Camera calibration
Linux
C++
Embedded computing
Visual tracking
Spatial estimation
UAV systems

Benefits

Competitive salary
Comprehensive group benefits plan
Group RRSP

Visa sponsorship

Not detected in the job text

Keywords

Computer Vision
UAV
RPAS
Image Processing
Machine Learning
Python
OpenCV
PyTorch
TensorFlow
Sensor Fusion
Camera Calibration
Linux
C++
Embedded Computing
Visual Tracking
Spatial Estimation
MAVLink
PX4
ArduPilot
Veronte
Perception
Robotics
Aviation
Data Analysis
Algorithm Development
Real-time Processing
Calibration
Simulation
Aerospace
Sensor Integration

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